mirror of
https://github.com/grafana/grafana.git
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* Moving query stuff out of dashboard folder * Moved more stuff * Moving more stuff * Update * WIP test page * Minor change * Before big changes * Fixed test
238 lines
6.8 KiB
TypeScript
238 lines
6.8 KiB
TypeScript
// Libraries
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import { from, merge, Observable, of, timer } from 'rxjs';
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import { isString, map as isArray } from 'lodash';
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import { catchError, finalize, map, mapTo, share, takeUntil, tap } from 'rxjs/operators';
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// Utils & Services
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import { backendSrv } from 'app/core/services/backend_srv';
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// Types
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import {
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DataFrame,
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DataQueryError,
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DataQueryRequest,
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DataQueryResponse,
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DataQueryResponseData,
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DataSourceApi,
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DataTopic,
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dateMath,
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guessFieldTypes,
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LoadingState,
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PanelData,
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toDataFrame,
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} from '@grafana/data';
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import { toDataQueryError } from '@grafana/runtime';
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import { emitDataRequestEvent } from './queryAnalytics';
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import { expressionDatasource, ExpressionDatasourceID } from 'app/features/expressions/ExpressionDatasource';
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import { ExpressionQuery } from 'app/features/expressions/types';
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type MapOfResponsePackets = { [str: string]: DataQueryResponse };
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interface RunningQueryState {
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packets: { [key: string]: DataQueryResponse };
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panelData: PanelData;
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}
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/*
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* This function should handle composing a PanelData from multiple responses
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*/
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export function processResponsePacket(packet: DataQueryResponse, state: RunningQueryState): RunningQueryState {
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const request = state.panelData.request!;
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const packets: MapOfResponsePackets = {
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...state.packets,
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};
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packets[packet.key || 'A'] = packet;
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let loadingState = packet.state || LoadingState.Done;
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let error: DataQueryError | undefined = undefined;
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// Update the time range
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const range = { ...request.range };
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const timeRange = isString(range.raw.from)
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? {
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from: dateMath.parse(range.raw.from, false)!,
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to: dateMath.parse(range.raw.to, true)!,
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raw: range.raw,
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}
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: range;
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const series: DataQueryResponseData[] = [];
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const annotations: DataQueryResponseData[] = [];
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for (const key in packets) {
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const packet = packets[key];
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if (packet.error) {
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loadingState = LoadingState.Error;
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error = packet.error;
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}
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if (packet.data && packet.data.length) {
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for (const dataItem of packet.data) {
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if (dataItem.meta?.dataTopic === DataTopic.Annotations) {
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annotations.push(dataItem);
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continue;
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}
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series.push(dataItem);
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}
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}
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}
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const panelData = {
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state: loadingState,
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series,
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annotations,
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error,
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request,
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timeRange,
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};
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return { packets, panelData };
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}
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/**
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* This function handles the execution of requests & and processes the single or multiple response packets into
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* a combined PanelData response. It will
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* Merge multiple responses into a single DataFrame array based on the packet key
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* Will emit a loading state if no response after 50ms
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* Cancel any still running network requests on unsubscribe (using request.requestId)
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*/
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export function runRequest(
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datasource: DataSourceApi,
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request: DataQueryRequest,
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queryFunction?: typeof datasource.query
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): Observable<PanelData> {
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let state: RunningQueryState = {
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panelData: {
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state: LoadingState.Loading,
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series: [],
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request: request,
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timeRange: request.range,
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},
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packets: {},
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};
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// Return early if there are no queries to run
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if (!request.targets.length) {
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request.endTime = Date.now();
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state.panelData.state = LoadingState.Done;
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return of(state.panelData);
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}
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const dataObservable = callQueryMethod(datasource, request, queryFunction).pipe(
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// Transform response packets into PanelData with merged results
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map((packet: DataQueryResponse) => {
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if (!isArray(packet.data)) {
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throw new Error(`Expected response data to be array, got ${typeof packet.data}.`);
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}
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request.endTime = Date.now();
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state = processResponsePacket(packet, state);
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return state.panelData;
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}),
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// handle errors
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catchError(err => {
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console.error('runRequest.catchError', err);
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return of({
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...state.panelData,
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state: LoadingState.Error,
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error: toDataQueryError(err),
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});
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}),
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tap(emitDataRequestEvent(datasource)),
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// finalize is triggered when subscriber unsubscribes
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// This makes sure any still running network requests are cancelled
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finalize(cancelNetworkRequestsOnUnsubscribe(request)),
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// this makes it possible to share this observable in takeUntil
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share()
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);
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// If 50ms without a response emit a loading state
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// mapTo will translate the timer event into state.panelData (which has state set to loading)
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// takeUntil will cancel the timer emit when first response packet is received on the dataObservable
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return merge(timer(200).pipe(mapTo(state.panelData), takeUntil(dataObservable)), dataObservable);
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}
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function cancelNetworkRequestsOnUnsubscribe(req: DataQueryRequest) {
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return () => {
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backendSrv.resolveCancelerIfExists(req.requestId);
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};
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}
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export function callQueryMethod(
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datasource: DataSourceApi,
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request: DataQueryRequest,
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queryFunction?: typeof datasource.query
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) {
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// If any query has an expression, use the expression endpoint
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for (const target of request.targets) {
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if (target.datasource === ExpressionDatasourceID) {
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return expressionDatasource.query(request as DataQueryRequest<ExpressionQuery>);
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}
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}
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// Otherwise it is a standard datasource request
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const returnVal = queryFunction ? queryFunction(request) : datasource.query(request);
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return from(returnVal);
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}
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/**
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* All panels will be passed tables that have our best guess at column type set
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*
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* This is also used by PanelChrome for snapshot support
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*/
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export function getProcessedDataFrames(results?: DataQueryResponseData[]): DataFrame[] {
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if (!results || !isArray(results)) {
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return [];
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}
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const dataFrames: DataFrame[] = [];
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for (const result of results) {
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const dataFrame = guessFieldTypes(toDataFrame(result));
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if (dataFrame.fields && dataFrame.fields.length) {
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// clear out the cached info
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for (const field of dataFrame.fields) {
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field.state = null;
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}
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}
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dataFrames.push(dataFrame);
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}
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return dataFrames;
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}
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export function preProcessPanelData(data: PanelData, lastResult?: PanelData): PanelData {
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const { series, annotations } = data;
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// for loading states with no data, use last result
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if (data.state === LoadingState.Loading && series.length === 0) {
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if (!lastResult) {
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lastResult = data;
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}
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return {
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...lastResult,
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state: LoadingState.Loading,
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request: data.request,
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};
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}
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// Make sure the data frames are properly formatted
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const STARTTIME = performance.now();
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const processedDataFrames = getProcessedDataFrames(series);
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const annotationsProcessed = getProcessedDataFrames(annotations);
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const STOPTIME = performance.now();
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return {
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...data,
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series: processedDataFrames,
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annotations: annotationsProcessed,
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timings: { dataProcessingTime: STOPTIME - STARTTIME },
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};
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}
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